Stress Level Detection Using Electroencephalography Signals

2020 ◽  
Vol 17 (9) ◽  
pp. 4223-4228
Author(s):  
K. V. Suma ◽  
D. Venkatesh ◽  
Arun Kumar ◽  
Manjula Suryabhatla ◽  
Tejaswini M. Gowda ◽  
...  
Keyword(s):  
Stress Level ◽  
Classification Accuracy ◽  
Crucial Role ◽  
High Stress ◽  
Professional Life ◽  
Eeg Signal ◽  
Alpha Beta ◽  
The Individual ◽  
The Impact

Stress is the pressure that is experienced by humans. The impact of stress depends upon the type of stress the individual is experiencing. A positive stress may lead to the individual to feel motivated while a negative stress may impact the individual’s professional life or relationships. In this work, the approach of detecting the level of individual stress through EEG signal is presented. The EEG signal consists of set of components like Alpha, Beta and Gamma, out of which the dominating component plays a crucial role in determining the stress level. Results shows that 93.33%, 83.33% and 90% of classification accuracy, 87.5%, 80% and 85.71% of sensitivity and 95.45%, 86.66% and 91.30% of specificity for low, medium and high stress respectively is obtained. This work can be used to analyze the region of brain that is contributing more towards the individual’s stress.

scholarly journals Continuous Stress Detection of Hospital Staff Using Smartwatch Sensors and Classifier Ensemble

2021 ◽  
Author(s):  
Muhammad Ali Fauzi ◽  
Bian Yang
Keyword(s):  
Stress Level ◽  
High Stress ◽  
Hospital Staff ◽  
Wearable Devices ◽  
Classifier Ensembles ◽  
Stress Detection ◽  
Monitoring Task ◽  
The Ensemble Method ◽  
The Individual ◽  
Voting Strategy

High stress levels among hospital workers could be harmful to both workers and the institution. Enabling the workers to monitor their stress level has many advantages. Knowing their own stress level can help them to stay aware and feel more in control of their response to situations and know when it is time to relax or take some actions to treat it properly. This monitoring task can be enabled by using wearable devices to measure physiological responses related to stress. In this work, we propose a smartwatch sensors based continuous stress detection method using some individual classifiers and classifier ensembles. The experiment results show that all of the classifiers work quite well to detect stress with an accuracy of more than 70%. The results also show that the ensemble method obtained higher accuracy and F1-measure compared to all of the individual classifiers. The best accuracy was obtained by the ensemble with soft voting strategy (ES) with 87.10% while the hard voting strategy (EH) achieved the best F1-measure with 77.45%.

Occupational Stress Impact and the Risk of Burn-Out for Employees of the Healthcare Sector, Germany

2018 ◽  
Vol 9 (6) ◽  
pp. 477-483
Author(s):  
Sabine Abbasi ◽  
Keyword(s):  
Occupational Stress ◽  
Working Conditions ◽  
Stress Level ◽  
High Stress ◽  
Working Hours ◽  
Healthcare Sector ◽  
Health Report ◽  
Burn Out ◽  
The Individual ◽  
High Stress Level

In accordance with the German annual health report mental disorders of employees continue to grow. In particular the German employees of the healthcare sector have work challenges like demographic change, lack of specialists, etc. Thus it seems obvious that these employees suffer from risk of a high stress level. The present paper focuses primarily on quantitative analysis of the stress level of employees in the rural healthcare sector. This study analyses the mental and physical burdens. The results of this paper support the concept that employees of the healthcare sector experience a strong stress levels. The results also support the assumption that communication and company structure is influencing the individual stress level of these employees. Further results show that physical and mental comfort is strongly influenced by weekly working hours and they show there is an impact of working atmosphere and working conditions to mental and physical burdens.

scholarly journals Research on subliminal visual messages based on EEG signal and convolutional neural network

2021 ◽  
Vol 336 ◽  
pp. 05014
Author(s):  
Zhiming Chen ◽  
Yanshan Tan ◽  
Zhuo Zhang ◽  
Ming Li
Keyword(s):  
Classification Accuracy ◽  
Visual Information ◽  
Eeg Signal ◽  
Eeg Signals ◽  
Visual Effects ◽  
Commercial Advertising ◽  
The Impact ◽  
The Brain ◽  
Stimulus Time ◽  
Stimulation Of

The visual information that can't be detected by consciousness but can affect individual's behavior and attitude under specific conditions is called subliminal visual messages. In order to better apply subliminal visual messages to commercial advertising, education and other fields, this paper studied the process of subliminal visual messages in the brain. First, this paper designed a experiment to allow the subjects to see a series of pictures stimulation of different durations and collect the EEG signals, then analyzed the impact of stimulation time on classification accuracy. The experimental results showed that when the stimulus time is short, the classification accuracy increases with the increase of time, resulting in subliminal visual effects. However, with the increase of stimulus time, the classification accuracy began to decline. We speculated that the visual information changed from subthreshold to suprathreshold. The subliminal visual effects were disturbed until disappeared.

Claude Perrault and the Mechanics of Animals

The Perraults ◽  
2018 ◽  
pp. 120-143
Author(s):  
Oded Rabinovitch
Keyword(s):  
Scientific Inquiry ◽  
Crucial Role ◽  
Scientific Creativity ◽  
Family Network ◽  
The Family ◽  
The Individual ◽  
Academy Of Sciences ◽  
The Impact

This chapter starts with one individual–Claude–and examines how the impact of the family on scientific inquiry is seen when examined from the perspective of the individual. Studying Claude’s renowned zoological work on the “mechanics of animals,” this chapter shows the project depended on a unique set of skills Claude possessed, from drawing to knowledge of mechanics, rather than on any specific set of philosophical commitments. Tracing these skills to Claude’s place in the family network, this chapter argues that the family played a crucial role in pre-modern scientific creativity. Moreover, the detailed reconstruction of the “mechanics of animals” project shows how the Academy of Sciences functioned in practice as a node in a broader network.

Impact of stress on clinical outcomes of non-surgical periodontal therapy in patients with severe generalized periodontitis

2021 ◽  
Vol 26 (1) ◽  
pp. 28-32
Author(s):  
A. Bebars ◽  
F. Romano ◽  
M. Giraudi ◽  
V. Ortu ◽  
I. Sekka ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Stress Level ◽  
Psychosocial Stress ◽  
High Stress ◽  
Periodontal Therapy ◽  
Risk Category ◽  
Clinical Parameters ◽  
Nonsurgical Periodontal Therapy ◽  
Stress Levels ◽  
The Impact

Relevance. Aim – to assess the impact of psychosocial stress on the clinical outcomes in severe periodontitis patients treated with Nonsurgical Periodontal Therapy (NPT). Materials and methods. Patients received 2 psychological questionnaires to score their stress levels, while clinical data were obtained 1 week before and six weeks after the completion of NPT. Results. A total of 55 patients were consecutively included in the study and subsequently categorized into different stress levels (low stress level n = 22 and moderate/high stress level n = 33). All clinical parameters were found to be comparable at baseline between groups. While reduction in full-mouth bleeding scores was found to be statistically significantly lower in group with higher stress levels, a similar improvement in the other clinical parameters was observed at the completion of NPT. Conclusion. Psychosocial stress seems to influence negatively the results of NPT and highly stressed patients may represent a risk category for disease progression.

Accent Policy and Accent Modification Enterprises as Potential Indicators of Intercultural Power Relations: A Call for an Updated Research Agenda

2013 ◽  
Vol 3 (1) ◽  
pp. 22-33 ◽  
Author(s):  
Brynne D. Ovalle ◽  
Rahul Chakraborty
Keyword(s):  
International Relations ◽  
Identity Construction ◽  
Social Theory ◽  
Power Relations ◽  
Linguistic Diversity ◽  
Cultural Organization ◽  
Using Data ◽  
The Individual ◽  
The Impact ◽  
The Relationship

This article has two purposes: (a) to examine the relationship between intercultural power relations and the widespread practice of accent discrimination and (b) to underscore the ramifications of accent discrimination both for the individual and for global society as a whole. First, authors review social theory regarding language and group identity construction, and then go on to integrate more current studies linking accent bias to sociocultural variables. Authors discuss three examples of intercultural accent discrimination in order to illustrate how this link manifests itself in the broader context of international relations (i.e., how accent discrimination is generated in situations of unequal power) and, using a review of current research, assess the consequences of accent discrimination for the individual. Finally, the article highlights the impact that linguistic discrimination is having on linguistic diversity globally, partially using data from the United Nations Educational, Scientific and Cultural Organization (UNESCO) and partially by offering a potential context for interpreting the emergence of practices that seek to reduce or modify speaker accents.

Investigating the Relationship Between Self-Esteem and Stigma Among Young Adults With History of Suicide Attempts

Crisis ◽  
2016 ◽  
Vol 37 (4) ◽  
pp. 265-270 ◽  
Author(s):  
Meshan Lehmann ◽  
Matthew R. Hilimire ◽  
Lawrence H. Yang ◽  
Bruce G. Link ◽  
Jordan E. DeVylder
Keyword(s):  
Young Adults ◽  
Suicide Attempts ◽  
Self Esteem ◽  
High Risk Population ◽  
High Functioning ◽  
People With Mental Illness ◽  
History Of ◽  
The Individual ◽  
The Impact ◽  
The Relationship

Abstract. Background: Self-esteem is a major contributor to risk for repeated suicide attempts. Prior research has shown that awareness of stigma is associated with reduced self-esteem among people with mental illness. No prior studies have examined the association between self-esteem and stereotype awareness among individuals with past suicide attempts. Aims: To understand the relationship between stereotype awareness and self-esteem among young adults who have and have not attempted suicide. Method: Computerized surveys were administered to college students (N = 637). Linear regression analyses were used to test associations between self-esteem and stereotype awareness, attempt history, and their interaction. Results: There was a significant stereotype awareness by attempt interaction (β = –.74, p = .006) in the regression analysis. The interaction was explained by a stronger negative association between stereotype awareness and self-esteem among individuals with past suicide attempts (β = –.50, p = .013) compared with those without attempts (β = –.09, p = .037). Conclusion: Stigma is associated with lower self-esteem within this high-functioning sample of young adults with histories of suicide attempts. Alleviating the impact of stigma at the individual (clinical) or community (public health) levels may improve self-esteem among this high-risk population, which could potentially influence subsequent suicide risk.

The Role of Threat and Economic Uncertainty in Support for Scottish Independence

2014 ◽  
Vol 23 (1) ◽  
pp. 103-124 ◽  
Author(s):  
Daniel Kopasker
Keyword(s):  
Economic Consequences ◽  
Perceived Threat ◽  
Constitutional Change ◽  
Lack Of Information ◽  
Economic Expectations ◽  
Scottish Independence ◽  
The Individual ◽  
The Impact ◽  
Levels Of Support

Existing research has consistently shown that perceptions of the potential economic consequences of Scottish independence are vital to levels of support for constitutional change. This paper attempts to investigate the mechanism by which expectations of the economic consequences of independence are formed. A hypothesised causal micro-level mechanism is tested that relates constitutional preferences to the existing skill investments of the individual. Evidence is presented that larger skill investments are associated with a greater likelihood of perceiving economic threats from independence. Additionally, greater perceived threat results in lower support for independence. The impact of uncertainty on both positive and negative economic expectations is also examined. While uncertainty has little effect on negative expectations, it significantly reduces the likelihood of those with positive expectations supporting independence. Overall, it appears that a general economy-wide threat is most significant, and it is conjectured that this stems a lack of information on macroeconomic governance credentials.

A brief Survey of Assessment models to Predict stress Level of Heavy Metals in Soils

2020 ◽  
Vol 13 ◽  
Author(s):  
Sangeetha Annam ◽  
Anshu Singla
Keyword(s):  
Economic Growth ◽  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Stress Level ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Human Life ◽  
High Stress ◽  
Heavy Metal Stress

Abstract: Soil is a major and important natural resource, which not only supports human life but also furnish commodities for ecological and economic growth. Ecological risk has posed a serious threat to the ecosystem by the degradation of soil. The high-stress level of heavy metals like chromium, copper, cadmium, etc. produce ecological risks which include: decrease in the fertility of the soil; reduction in crop yield & degradation of metabolism of living beings, and hence ecological health. The ecological risk associated, demands the assessment of heavy metal stress levels in soils. As the rate of stress level of heavy metals is exponentially increasing in recent times, it is apparent to assess or predict heavy metal contamination in soil. The assessment will help the concerned authorities to take corrective as well as preventive measures to enhance the ecological and hence economic growth. This study reviews the efficient assessment models to predict soil heavy metal contamination.

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